使用Networkx从连接的组件创建团体 [英] Creating cliques from connected components using networkx
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问题描述
我已经使用Python
中的networkx
创建了一个图形.
I have created a graph using networkx
in Python
.
import networkx as nx
G = createGraph ('abc.csv') #My function that returns graph from file.
connected_components = nx.connected_components(G)
print (connected_components)
<generator object connected_components at 0x00000000221EF1A8>
nbr_cc = nx.number_connected_components(G)
print (nbr_cc)
57215
我想将每个连接的组件转换成一个小集团,然后以以下方式编写一个csv文件:
I want to convert every connected component into a clique and then write a csv file in following manner:
node1_id node2_id connected_component_id
1 2 1
1 3 1
1 4 1
2 1 1
. . .
. . .
500 600 9
该怎么做?有什么方法可以在notworkx或其他任何python库中实现这一目标?
How to do that? Is there any way to achieve that in notworkx or using any other python library?
推荐答案
您可以使用itertools.permutations
:
>>> G
<networkx.classes.graph.Graph object at 0x7f123559f3c8>
>>> list(nx.connected_components(G))
[{0, 4, 5, 6, 7, 9}, {1}, {8, 2}, {3}]
>>> import itertools
>>> import csv
>>>
>>> with open('cliques.csv', 'tw') as f:
... w = csv.writer(f, csv.excel_tab)
... w.writerow(['node1', 'node2', 'clique'])
... w.writerows(p + (i,) for i, n in enumerate(nx.connected_components(G), 1) for p in itertools.permutations(n, 2))
...
20
创建一个包含以下内容的文件:
Creates a file containing:
node1 node2 clique
0 4 1
0 5 1
0 6 1
0 7 1
0 9 1
4 0 1
4 5 1
...
9 6 1
9 7 1
8 2 3
2 8 3
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